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I will integrate on device ai and machine learning tflite into flutter app
Ilham A
About this gig
Looking to make your Flutter app smarter with On-Device AI and Machine Learning? I am here to help!
Hi! Im Ilham, an Informatics Engineer specializing in Flutter development and On-Device AI integration. I integrate lightweight, high-performance Machine Learning models directly into mobile apps using TensorFlow Lite (TFLite)ensuring fast inference without relying on expensive server infrastructure.
What I Offer:
On-Device AI/ML Integration using TFLite.
Computer Vision Features: Image Classification, Object Detection, Pose Estimation, Face Detection.
Text & Audio Processing: Natural Language Processing (NLP) / Sentiment Analysis on device.
Real-time Camera Stream Processing in Flutter.
Clean Architecture & State Management (GetX).
Model Conversion (.pb / .pt to .tflite) & Optimization.
Why On-Device AI?
Offline Functionality: Works without internet access.
Zero Latency: Instant results with no API response delay.
Data Privacy: User data stays securely on their device.
PLEASE NOTE: Please message me before placing an order to discuss your ML model and project requirements!
Get to know Ilham A
Ilham A
Flutter Developer AIML Enthusiast
- FromIndonesia
- Member sinceMay 2022
Languages
Indonesian, English
I am a Flutter Developer and AI/ML enthusiast focused on innovation and intelligent user experiences. I bridge the gap between clean code and data-driven decision-making to create transformative digital products. My goal is to integrate Mobile Engineering and Data Science to build intuitive applications that provide a competitive advantage through artificial intelligence.
Other Mobile App Development Services I Offer
FAQ
Do I need an internet connection for the AI features to work?
No! On-Device AI processes data locally using TensorFlow Lite (TFLite) directly on the smartphone, making it offline-capable and lightning fast.
Can you convert my custom PyTorch or TensorFlow model to TFLite?
Yes, I can convert your custom trained models (.pb, .pt, or Keras) into lightweight .tflite format optimized for mobile performance.
Will running ML models slow down the Flutter app or drain battery?
No, TFLite is specifically built for mobile devices. I ensure clean architecture and async processing so your app runs smoothly at high FPS.
